• Industrial Engineering and Management Systems
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• v.9 no.1
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• pp.1-9
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• 2010

Increasing product variety based on product family and product platform provides a company with a competitive advantage over its competitors. As products become more complex, short-life cycled and customized, the design efforts require more knowledge-intensive, collaborative and coordinating efforts for information sharing. By sharing knowledge, information, component and process across different families of products, the product realization process will be more efficient, cost-effective and quick-responsive. Formal Concept Analysis (FCA) is used for analyzing data and forming semantic structures that are formal abstractions of concepts of human thoughts. A Web Ontology Language (OWL) is designed for applications that need to process the content of information instead of simply presenting information to humans. OWL also captures the evolution of different components of the product family. The purpose of this paper is to develop product variety modeling to increase the usefulness of common platform. In constructing and analyzing product ontology, FCA is adopted for conceptual knowledge processing. For the selected product family, product variety Ontology is constructed and implemented using prot$\'{e}$g$\'{e}$-2000.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.13 no.1
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• pp.119-129
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• 2018

Companies' efforts to secure and sustain a competitive advantage in the market may also appear in the form of new product development. This has increased the importance of leveraging knowledge from other companies in a global competition that is accelerating with an accelerating product life cycle and the development of transportation and communications. In order to create valuable knowledge through the exchange and combination of knowledge, the absorptive capacity of the recipient of the knowledge should be considered as important, but also the knowledge protection tendency, which is characteristic of the knowledge transferor, should be considered. However, studies that considered these factors at the same time were very limited. This study examines the effect of suppliers 'absorptive capacity and buyer' s knowledge protection on new product development performance during the joint development of new products. In addition, we investigated the interaction effect between supplier's absorption capacity and buyer's knowledge protection tendency. For this purpose, data were collected for automobile industry, electronics industry and defense industry, where joint development of new products occurred frequently, and statistical verification was performed by regression analysis. The results showed that the absorptive capacity of the supplier was positively correlated with the performance of the new product development, and the buyer 's knowledge protection tendency had a negative relationship with the new product development performance. In addition, the absorptive capacity of the supplier and the buyer 's knowledge protection tendency have an interaction effect on the new product development result. These results suggest that suppliers' absorption capacity is an important factor in the joint development of new products, but suppliers with superior absorption capacity may have a negative impact on new product development performance if buyers have a negative attitude toward knowledge transfer.

• Journal of Korea Society of Digital Industry and Information Management
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• v.7 no.3
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• pp.151-162
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• 2011

This study defined acceptance of high-tech new product as user's active using the product such as utilizing application software rather than purchasing it. As exploring factors to effect on customer's acceptance, usefulness expectancy was examined from product side and application side. When investigating the exogenous variables to influence on usefulness expectancy from the product side, customer's product knowledge and social influences are put forward to support the hypothesis. From the application side, customer's knowledge about the application and its trust are put to explain usefulness expectancy of the application. Smart phone users were good subjects for this study and most hypotheses were tested using structural equation model and the results are followings. First usefulness expectancy of the product and of application significantly effect on customer's intention to use high-tech new product and also usefulness expectancy of the product positively effects on which of the application. Second customer's perceived knowledge about the product and social influences impact usefulness expectancy of the product. But third customer's perceived trust toward application didn't any positive impact usefulness expectancy of the application. Through the result, there will be several implications. First, from both of side; product and application, customer's usefulness expectancy should be satisfied to be successful in high-tech products market. Second, customer should be Ieant about advantages of the product and knowledge about the application as well, and then trigger their usefulness expectancy.

• The Journal of the Korea Contents Association
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• v.21 no.7
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• pp.386-403
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• 2021

Preannouncing a new product to its target audiences has been more and more prevalent in a wealth of industries, particularly industries that attach great importance to the speed of entry. Grounded in market signaling theory, the current research advances a theoretical model that takes full cognizance of the relation between preannounced information about an upcoming product and individual customers' behavioral intentions as well as significant moderating effects of prior product knowledge and new product innovativeness. In response, a web-based survey is conducted for data collection and the structural equation model is utilized for data analysis. Results of this study demonstrate that preannounced new product information attributes (i.e., quantity, clarity) may positively influence consumers' attitudes, in turn, lead to a favorable purchase intention. Moreover, the moderating effects of product knowledge and product innovativeness are also confirmed. Specifically, product knowledge moderates the quantity-attitude relation positively and moderates the clarity-attitude relation negatively, whereas product innovativeness does opposite. Both implications and limitations are also described.

• Journal of the Korean Society of Clothing and Textiles
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• v.30 no.5 s.153
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• pp.818-828
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• 2006

The purpose of this study was to clarify differences in the product attribute evaluation in relation to the objective knowledge, subjective knowledge and involvement of apparel. The measurement instruments were developed by researcher on the basis of previous studies in the same field. The subjects of this study were female adults who lived in Seoul, Kyunggi or Incheon areas and quota sampling using age and residential areas was employed. The data were obtained from 603 questionnaires. Data were statistically analyzed using SPSS 10 and LISREL 7.0. Major statistical methods were factor analysis, Cronbach's a coefficient, multiple regression analysis, and structural equation model analysis. The results were as follows: 1. Involvement was related to the consumer knowledge and the knowledge influenced evaluation of intrinsic attributes, social attributes, and economic attributes. 2. The dimensions of objective knowledge significantly influenced intrinsic attributes and economic attributes. The dimensions of subjective knowledge significantly influenced intrinsic attributes, social attributes and economic attributes. 3. Apparel involvement significantly influenced intrinsic attributes, social attributes and economic attributes. Consumers who have higher interest in apparel product but not in trends considered intrinsic attributes more importantly, whereas consumers who care trends considered social attribute more.

• Knowledge Management Research
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• v.5 no.2
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• pp.25-51
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• 2004

The purpose of this study is to investigate the knowledge creating pattern of technology catching-up and pioneering phase in the new product development process. This paper first reviews the knowledge conversion, absorptive capability, learning orientation and the trigger of learning. The paper then presents the integrative model of knowledge creating. Based on the integrative model, in-depth case analysis was conducted on the new product development process in Phicom. As a result, the paper discuss that the pattern of absorptive capability building, knowledge conversion and knowledge transfer is different from technology catching-up and pioneering phase. Finally, the implications and limitations of the study are discussed.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2005.05a
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• pp.316-320
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• 2005

We developed Intelligent Product Search Agent based on SWRL, and this agent can search product information with knowledge(facts and rules) on the web, implement price comparison for searched products considering delivery rates. Existing keyword based product search engines is poor at searching intent products though a user has already prefect knowledge about intent produces. Furthermore if a user has insufficient knowledge, it is impossible to implement search. Also, existing price comparison shopping mall gives users comparison service considering total price(product prices, taxes, delivery rates), this service is valid to single product and has limitations of system expansion and up-dating because of not rule base but programming base. If there is appropriate knowledge on the Semantic web and this makes product information retrieval possible, above problems can be solved clearly. In this research, we developed Intelligent Product Search Agent based on SWRL that can search product information efficiently by making agent to handle facts and rules by itself.

• International Commerce and Information Review
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• v.11 no.3
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• pp.191-215
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• 2009

This study extends the previous research into the effects of knowledge spillovers on innovation and regional exports growth by more clearly distinguishing, both theoretically and empirically, two different types of knowledge spillovers, namely product and market knowledge spillovers. More importantly, this research provides insights on their role of knowledge spillovers in shaping regional innovative activities and, eventually, regional export growths. Furthermore, this research makes an important contribution to the understudied market knowledge spillovers by developing two variables that could be used to assess the flow of market knowledge spillovers at the regional level: localization economies and export consulting advice. Using secondary data on eight 2-digit manufacturing industries in ten New Zealand regions over a seven year period, this research found that regional competition, localization economies and the availability of export consulting advice have positively and significantly impact on the regional export growth in New Zealand.

• International Commerce and Information Review
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• v.2 no.1
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• pp.3-24
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• 2009

This study extends the previous research into the effects of knowledge spillovers on innovation and regional exports growth by more clearly distinguishing, both theoretically and empirically, two different types of knowledge spillovers, namely product and market knowledge spillovers. More importantly, this research provides insights on their role of knowledge spillovers in shaping regional innovative activities and, eventually, regional export growths. Furthermore, this research makes an important contribution to the understudied market knowledge spillovers by developing two variables that could be used to assess the flow of market knowledge spillovers at the regional level: localization economies and export consulting advice. Using secondary data on eight 2-digit manufacturing industries in ten New Zealand regions over a seven year period, this research found that regional competition, localization economies and the availability of export consulting advice have positively and significantly impact on the regional export growth in New Zealand.

• International Journal of Quality Innovation
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• v.9 no.2
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• pp.99-117
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• 2008

High-tech industry has been the principal economic source for Taiwan in recent years. The characteristics of high-tech industries in Taiwan are changeable product markets, short product life cycles and high company attrition rate. In the globalization trend, the high-tech industry has gradually increased corporate competitiveness and reached the goal of sustainable operations through knowledge management, knowledge sharing and new product research and development. Firms have aggressively strengthened and integrated their internal and external resources and enhanced knowledge sharing to increase industry operational performance. Effectively strengthening the knowledge management operation and performance evaluation of knowledge sharing in Taiwan's high-tech industry has become a critical issue. In the selection of knowledge sharing Key Performance Indicators (KPI), this research divided the knowledge sharing indicators into representative strategic indicators such as organizational knowledge learning, organizational knowledge resources, organizational information capacity and organizational knowledge performance through screening using Factor Analysis. The characteristics of the constructs were interdependent. This research calculated and adjusted the correlation among the key performance knowledge sharing indicators using ANP and determined the relative weight of knowledge sharing.